KartoGraphI: Knowledge graph cartography and index

Visualisation of the results obtained by IndeGx

This map shows the geolocation obtained using a reverse DNS on their URLs.

Links between SPARQL endpoints and their vocabularies

This graph shows links between vocabularies and the SPARQL endpoints that contains at least one element (class or property) in their namespace.

Only the vocabularies listed in Linked Open Vocabularies and prefix.cc are shown.

Links between SPARQL endpoints and their vocabularies keywords

This graph shows links between SPARQL endpoints and the keywords associated with the vocabularies that they contain. The keywords of each vocabulary are extracted from Linked Open Vocabularies.

Links between endpoints and meta-vocabularies

The graphs below show the endpoints connected to the different vocabularies most often used to define other vocabularies, hence \"meta-vocabularies\".

RDF

RDFS

OWL

SKOS

SHACL

SWRL

SPIN

Estimation of the SPARQL features covered by the endpoints

This charts shows the number of SPARQL features supported by endpoints amog 41 tested features. The tests are inspired by SPARQLES.

The following charts show differnet statistics on the content of SPARQL endpoints. As the counting of elements is resource-intensive, not all endpoints have returned results for each statistic.

Datasets populations

Number of triples in endpoints.

Number of classes

Number of classes in endpoints.

Number of properties

Number of properties in endpoints.

Number of languages

Number of languages used on the literals in endpoints.

Server name in HTTP headers

Quality metrics

Readable labels

Proportion of resources with an human-readable label (i.e. using rdfs:label or equivalent)

Short URIs

Proportion of resources with a with a short URI

RDF data structures

Proportion of resources that are not a part of an RDF data structure such as a List

Usage of blank nodes

Proportion of resources that are blank nodes

FAIRness evaluation

This bar charts display the evaluation of datasets described in SPARQL endpoints and evaluated using the FAIR-Checker method, reimplemented in IndeGx.

This website was created as part of the ANR project DeKaloG.
The code of this site and of the application that generated the RDF data it exploits, are hosted on Github.
The results displayed on this website inpired the creation of Metadatamatic, a tool for the generation of dataset description.
To cite this work:


                                                            @inproceedings{maillot:hal-03652865,
                                    TITLE = {{KartoGraphI: Drawing a Map of Linked Data}},
                                    AUTHOR = {Maillot, Pierre and Corby, Olivier and Faron, Catherine and Gandon, Fabien and Michel, Franck},
                                    URL = {https://hal.archives-ouvertes.fr/hal-03652865},
                                    BOOKTITLE = {{ESWC 2022 - 19th European Semantic Web Conferences}},
                                    ADDRESS = {Hersonissos, Greece},
                                    PUBLISHER = {{Springer}},
                                    YEAR = {2022},
                                    MONTH = May,
                                    KEYWORDS = {linked data ; semantic web}
                                }

To cite the article about the IndeGx framework that generated the data displayed on this website:


                                                            @article{maillot:hal-03946680,
                                    TITLE = {{IndeGx: A Model and a Framework for Indexing RDF Knowledge Graphs with SPARQL-based Test Suits}},
                                    AUTHOR = {Maillot, Pierre and Corby, Olivier and Faron, Catherine and Gandon, Fabien and Michel, Franck},
                                    URL = {https://hal.science/hal-03946680},
                                    JOURNAL = {{Journal of Web Semantics}},
                                    PUBLISHER = {{Elsevier}},
                                    PAGES = {100775},
                                    YEAR = {2023},
                                    MONTH = Jan,
                                    DOI = {10.1016/j.websem.2023.100775},
                                    KEYWORDS = {semantic index metadata extraction dataset description endpoint description knowledge graph ; semantic index ; metadata extraction ; dataset description ; endpoint description ; knowledge graph},
                                    PDF = {https://hal.science/hal-03946680/file/_DeKaloG__IndeGx___Web_Semantics_2022-1.pdf},
                                    HAL_ID = {hal-03946680},
                                    HAL_VERSION = {v1},
                                  }